日本地球惑星科学連合2025年大会
セッション概要| 大気水圏科学 (A) | ||||
|---|---|---|---|---|
| セッション小記号 | 大気海洋・環境科学複合領域・一般 (CG) | |||
| セッション ID | A-CG39 | |||
| タイトル | グローバル炭素循環の観測と解析 | |||
| タイトル短縮名 | グローバル炭素循環 | |||
| 開催日時 | 口頭セッション | 5/27(火) PM1-PM2 | ||
| 現地ポスター コアタイム |
5/27(火) PM3 | |||
| 代表コンビーナ | 氏名 | 市井 和仁 | ||
| 所属 | 千葉大学 | |||
| 共同コンビーナ１ | 氏名 | Patra Prabir | ||
| 所属 | Research Institute for Global Change, JAMSTEC | |||
| 共同コンビーナ２ | 氏名 | 伊藤 昭彦 | ||
| 所属 | 東京大学 | |||
| 共同コンビーナ３ | 氏名 | Oksana Tarasova | ||
| 所属 | World Meteorological Organization | |||
| セッション言語 | E | |||
| スコープ |
The Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC) is a landmark agreement, which aims at reduction of greenhouse gases (GHGs) emission to keep the global warming below 2 deg C. The national commitments and progresses should be carefully monitored and verified by international bodies using different but complementary methodologies. Many observations and techniques to monitor GHGs budget have been improved in recent years, e.g. atmospheric inverse analysis, process-based models, and national statistics for inventories. As the demand for on time delivery of many of these products at low latency has increased from different stakeholders, the product delivery and accuracy assessment is being discussed at WMO and GCP activities. However, due to uncertainties in sparse observation network and integration methods, large uncertainty remains in GHGs sources/sinks estimations at global and regional scales. The purpose of the session is to discuss state-of-the-art techniques for estimations of GHGs (e.g. CO2, CH4, N2O) budget at global and regional scales. The topic includes natural and anthropogenic processes, various methodologies (e.g. in-situ observation, aircraft monitoring, remote sensing, modeling, integration), and various targets (e.g. atmosphere, land, and ocean), various spatial and temporal coverage (e.g. local-global and past-present-future). Optimization of observation locations for maximum benefit of flux uncertainty reduction (intelligent network design) is encouraged in this context. Improved estimates of emissions from land use change, biomass burning, and other anthropogenic sources are also of interest. |
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| セッション形式 | 口頭およびポスターセッション | |||
| 共催情報 | 学協会 | 日本大気化学会 | ||
| ジョイント | - | |||
| 団体会員以外の組織との共催 | - | |||
| 国際連携団体 | - | |||